To address these challenges, this article constructs a novel integrative model called tensor decomposition-based relaxed linear regression (TDRLR) for HSI classification. First, the model adopts ...

As a result, the complementary information flow in these Transformer-based techniques is partial and constrained. To mitigate this, we propose, TensorFormer, a tensor-based multimodal Transformer ...

Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation EMNLP 2022 Kronecker Decomposition for GPT Compression ACL ... Tensor Decomposition for Model Reduction in ...

🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉). 🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series. 🚩 ...